Jae-Moung Kim

18 papers receiving 281 citations

Peers

Jae-Moung Kim
Comparison fields: 5 of 42
  • Electrical and Electronic Engineering 267
  • Aerospace Engineering 220
  • Computer Networks and Communications 81
  • Molecular Biology 22
  • Biomedical Engineering 22
Replace Leijun Xu with:
Leijun Xu China
Antonio Martínez‐González Spain
Qingchao Li United Kingdom
Imène Trigui Canada
Jordan Melzer Canada
Deyou Zhang Sweden
Miaomiao Dong China
Jaspreet Kaur India
Brijesh Mishra India
Mirza Tariq Beg India
Jae-Moung Kim relative to Leijun Xu China Leijun Xu's profile →
Citations per field
00.5×6.2×
Leijun Xu · 1×
Citations per year

Countries citing papers authored by Jae-Moung Kim

Since Specialization
Citations

This map shows the geographic impact of Jae-Moung Kim's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jae-Moung Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jae-Moung Kim more than expected).

Fields of papers citing papers by Jae-Moung Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jae-Moung Kim. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jae-Moung Kim. The network helps show where Jae-Moung Kim may publish in the future.

Co-authorship network of co-authors of Jae-Moung Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Jae-Moung Kim. A scholar is included among the top collaborators of Jae-Moung Kim based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jae-Moung Kim. Jae-Moung Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3
An Improved Cross Entropy-Based Frequency-Domain Spectrum Sensing
0
4 6
5
An Improved Entropy Based Sensing by Exploring Phase Information
1
6 34
7 2
8
Link Budget and Performance Analysis of UWB Transmission Method for Off-body HDR Communication in WBAN System
0
9
A Sliding Window-Based Energy Detection Method under Noise Uncertainty for Cognitive Radio Systems
1
10
An Enhanced Energy Detector for WRAN Systems Using Maximum-to-Mean Power Ratio
1
11
An Efficient Weighted-Collaborative Sensing Scheme in Cognitive Radio
1
12
Interference Avoidance Technology Using Cognitive UWB in Ultra Wideband Systems
1
13
A Spectral Correlation Based Detection Method for Spectrum Sensing in Cognitive Radio
1
14 2
15
Improved multi-carrier PAP reduction method based on PTS
1
16 1
17 165
18 59
19 3
20 1

About Jae-Moung Kim

Jae-Moung Kim is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Signal Processing, having authored 28 papers that have together received 336 indexed citations. Recurring topics across this work include Cognitive Radio Networks and Spectrum Sensing (10 papers), Advanced MIMO Systems Optimization (7 papers) and Wireless Communication Networks Research (7 papers). The work is most often cited by research in Aerospace Engineering (220 citations), Electrical and Electronic Engineering (267 citations) and Computer Networks and Communications (81 citations). Jae-Moung Kim has collaborated with scholars based in South Korea, China and United States. Frequent co-authors include Jaehoon Choi, Kyungho Chung, Jae‐Hoon Choi, Sunghwan Sohn, Ning Han, Yong Bae Park, Deog‐Hwan Oh, Jung-Beom Kim, Guanbo Zheng and Xiaoge Huang. Their work appears in journals such as IEEE Microwave and Wireless Components Letters, Foodborne Pathogens and Disease and Wireless Personal Communications.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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